Slow Pyrolysis of Deoiled Canola Meal: Product Yields and Characterization

2013 ◽  
Vol 27 (9) ◽  
pp. 5268-5279 ◽  
Author(s):  
Ramin Azargohar ◽  
Sonil Nanda ◽  
B. V. S. K. Rao ◽  
Ajay K. Dalai
Keyword(s):  
Canola Meal ◽  
Slow Pyrolysis ◽  
Product Yields ◽  
Meal Product

scholarly journals Simulation of Batch Slow Pyrolysis of Biomass Materials Using the Process-Flow-Diagram COCO Simulator

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 775 ◽  
Author(s):  
Chaiyot Tangsathitkulchai ◽  
Natthaya Punsuwan ◽  
Piyarat Weerachanchai
Keyword(s):  
Simulation Method ◽  
Simulation Program ◽  
Flow Diagram ◽  
Average Error ◽  
Prediction Errors ◽  
Thermodynamic Consideration ◽  
Slow Pyrolysis ◽  
Product Yields ◽  
Gas Products ◽  
Solid Liquid

The commercial COCO simulation program was used to mimic the experimental slow pyrolysis process of five different biomasses based on thermodynamic consideration. The program generated the optimum set of reaction kinetic parameters and reaction stoichiometric numbers that best described the experimental yields of solid, liquid and gas products. It was found that the simulation scheme could predict the product yields over the temperature range from 300 to 800 °C with reasonable accuracy of less than 10% average error. An attempt was made to generalize the biomass pyrolysis behavior by dividing the five biomasses into two groups based on the single-peak and two-peak characteristics of the DTG (derivative thermogravimetry) curves. It was found that this approximate approach was able to predict the product yields reasonably well. The proposed simulation method was extended to the analysis of slow pyrolysis results derived from previous investigations. The results obtained showed that the prediction errors of product yields were relatively large, being 12.3%, 10.6%, and 27.5% for the solid, liquid, and gas products, respectively, possibly caused by differing pyrolysis conditions from those used in the simulation. The prediction of gas product compositions by the simulation program was reasonably satisfactory, but was less accurate for predicting the compositions of liquid products analyzed in forms of hydrocarbons, aromatics and oxygenated fractions. In addition, information on the kinetics of thermal decomposition of biomass in terms of the variation of fractional conversion with time was also derived as a function of temperature and biomass type.

Rapid and slow pyrolysis of pistachio shell: effect of pyrolysis conditions on the product yields and characterization of the liquid product

2007 ◽  
Vol 31 (5) ◽  
pp. 506-514 ◽  
Author(s):  
Ayşe E. Pütün ◽  
Nurgül Özbay ◽  
Esin Apaydın Varol ◽  
Başak B. Uzun ◽  
Funda Ateş
Keyword(s):  
Liquid Product ◽  
Shell Effect ◽  
Slow Pyrolysis ◽  
Pistachio Shell ◽  
Product Yields

Thermodynamic evaluation of process to obtain charcoal from the slow pyrolysis of babassu coconut

2017 ◽  
Author(s):  
Francisco Everton Tavares de Luna ◽  
Laionel Guedes ◽  
Herculano Telino Macau ◽  
Rennan Jackson Ferreira Macedo
Keyword(s):  
Thermodynamic Evaluation ◽  
Slow Pyrolysis

A study of biochar yield from the slow pyrolysis of rice husk

2017 ◽  
Author(s):  
Fábio Roberto Vieira
Keyword(s):  
Rice Husk ◽  
Slow Pyrolysis

Valorization of Canola Meal Proteins Through Acylation with Lauroyl Chloride

2020 ◽  
Author(s):  
Sumudu Warnakulasuriya
Keyword(s):  
Canola Meal

Fission product yields at intermediate energy

1998 ◽  
Author(s):  
V. A. Rubchenya ◽  
J. Äystö ◽  
P. Dendooven ◽  
S. Hankonen ◽  
A. Jokinen ◽  
...  
Keyword(s):  
Fission Product ◽  
Intermediate Energy ◽  
Product Yields ◽  
Fission Product Yields
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